ArticleJournal of managed care & specialty pharmacy2019
Genome Diagnostics: Novel Strategies for Measuring Value.
Article in Journal of managed care & specialty pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Exploring individuals' experiences with self-reported unmet need for genetic testing.European journal of human genetics : EJHG · 2025Article
- Determining the utility of diagnostic genomics: a conceptual framework.Human genomics · 2023Review
- Applying the Clinician-reported Genetic testing Utility InDEx (C-GUIDE) to genome sequencing: further evidence of validity.European journal of human genetics : EJHG · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic testing technology is rapidly evolving with the growth of personalized medicine. While test evaluation typically relies on laboratory measures of performance, tests can be costly and analytically and ethically complex. A more fulsome consideration of value is warranted to inform adoption and appropriate use. Herein we describe a methodology for developing novel clinician- and patient-reported measures of clinical and personal utility, aiming to capture the informational value of genome diagnostic tests. Adhering to core measurement science principles and standards, our 4-step process includes (1) tool development through scoping reviews and stakeholder interviews and surveys; (2) tool validation through prospective cohort studies to establish construct validity, inter- and intra-rater reliability; (3) tool application using comparative effectiveness assessment to gauge the comparative value of different types of genetic tests; and (4) tool dissemination, leveraging existing partnerships with international stakeholders to spur additional validation studies, comparative effectiveness research, cost-effectiveness analysis, and evidence-informed policy. A scoping review of the clinical utility literature informed the development of a preliminary 25-item index. Qualitative interviews with 35 clinicians further informed the definition of our utility construct, item content, and item importance. Stakeholder surveys with 113 clinicians enabled further feedback on item content, importance, sensibility, response, and scoring options. An 18-item tool, the "Clinician-reported Genetic testing Utility InDEx" (C-GUIDE), is now undergoing validation, while development work on the patient-reported measure of utility is underway. A methodologically innovative approach to the development of stakeholder-informed and clinimetrically sound measures of value for personalized medicine tests will assist technology users and decision makers globally. DISCLOSURES: This work was supported by the Canadian Institutes of Health Research Operating Grant (#PJT-152880) and the PhRMA Foundation Challenge Award. Publication of the study methodology or findings generated therein was not contingent on the sponsor's approval or censorship of the manuscript. The authors have nothing to disclose. Results from this study were presented as a poster at the 40th Annual North American Meeting of the Society for Medical Decision Making; October 14, 2018; Montreal, QC; the Annual Meeting of the American Society of Human Genetics; October 18, 2018; San Diego, CA; and as an oral presentation at the Annual Meeting of the Canadian Association for Health Services and Policy Research; May 31, 2018; Montreal, QC.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.